An intercept driven approach for monitoring of grid applications

Time interval triggered external daemon based monitoring approach restricts to externally collecting certain parameter of interest such as CPU/memory consumption for a grid job. In this paper, we propose an intercept driven monitoring approach that allows for self monitoring capability to be embedded within a grid job. The approach apart from gathering and publishing conventional grid job monitoring statistics, also allows for monitoring the internal state of the objects within an object oriented grid job context. It further allows for monitoring of thrown exceptions within a Java based grid job and allows offers fault tolerance by maintaining a data structure at meta level that can be used for starting the job from the point of crash.